My son was born recently. Wondering what talents he might carry, and what role those talents will play in his life, I found myself revisiting a line of thought I’ve been developing for years. On the relationship between talent and effort — and the cruel structure that lies between them.

The Price of Effort

Effort demands time — one of the scarcest resources we have. But when you’re talented, you reach the same goals faster. Repeat the experience of getting results with minimal input, and a baseline naturally forms: “This much effort should be enough.”

This is the moment a blessing called talent transforms into a curse called “that’s good enough.”

This is known as the fixed mindset trap. The more people rely on talent, the more they interpret the act of struggling as evidence of inadequacy. When results don’t come immediately, they abandon the path. The greater the talent, the higher the probability of falling into this trap.

Why can’t talented people recognize how little they’ve actually invested? Because they have no frame of reference. They rarely get to observe how long an ordinary person must endure for the same goal. Without knowing that their “two months” corresponds to someone else’s “several years,” they record those two months as genuine effort.

The Birth of the Opportunist

When this misperception accumulates, a distorted dataset forms: “I tried hard, but nothing came of it.”

Once this data crosses a threshold, effort itself gets reclassified as a risky investment. When reinforcement is absent or irregular, behavior extinguishes. For the talented, the memory of “I invested and failed” forms despite insufficient actual investment, and motivation for sustained effort is extinguished. This is a variant of learned helplessness — not learning from failure, but learning the belief that “effort is meaningless.”

The result: they become opportunists who prefer short-term rewards. Opportunists wait for waves. When they occasionally catch one by luck, they mistake it for the result of their own strategy. Those intoxicated by short-term gains who believe their strategy was sound will eventually fall before true volatility.

The Conditions for Greatness

Not every talented person becomes an opportunist. The fork in the road is singular: whether or not they’ve experienced long-term effort paying off.

Consider a child gifted in mathematics. School exams pass without much study. So far, this is the domain of short reward cycles. But then comes a math olympiad, and for the first time, the child encounters problems that resist solution for months. Giving up here means entering the opportunist’s path. But if they endure those months and finally solve the problem, a belief forms: “If I hold on long enough, it works.”

The Matthew Effect operates at precisely this point. One success experience becomes confidence for the next challenge; that confidence enables longer investment horizons; and those investments return as further rewards — a virtuous cycle. Those who possess both talent and faith in effort are inside this cycle. They don’t leave success to luck, and they design structures that prevent defeat.

The Cruelest Truth

The problem is that obtaining that “first success experience” is itself subject to luck.

Why was the child able to endure at the olympiad? Perhaps because encouraging parents stood beside them. Perhaps because peers struggled alongside them. Or perhaps simply because no other options existed at that time. In every case, these are conditions that cannot be explained by willpower alone.

Even diligence and the will to try are determined by parental upbringing, genetic temperament, and social environment — all forms of luck. When successful people say “I got here through my own effort,” the fact that the very conditions enabling that effort were never a matter of choice is conveniently omitted.

Ultimately, “the ability to exert effort” is itself a kind of talent. And this talent, like other cognitive talents, is distributed unequally. The reason it’s hard for those born in disadvantaged circumstances to rise isn’t simply a lack of financial support. It’s the absence of an environment that could instill the conviction that sustained effort will eventually be rewarded. In a setting where only failure has been learned, effort inevitably feels like a dangerous gamble.

Beyond the Singularity — The Rules Change

Everything discussed so far rests on one premise: that talent means cognitive ability, and effort means investing time to hone that ability. Once AI crosses the singularity, this premise itself collapses.

There was a time when a child who calculated quickly was called “gifted in math.” After the calculator appeared, mental arithmetic ceased to be treated as talent. AI extends this phenomenon across all cognitive abilities. Coding, writing, analysis, design — in every domain that once required years of mastery, AI generates above-average results instantly. Cognitive talent becomes commoditized.

So what remains?

Imagine two people with access to identical AI tools. One finds an answer to “What should I build with this?” and pushes forward for six months despite uncertain direction. The other tries various things, then drops it after a week, saying “Not worth it.” Their cognitive abilities are identical. In a world where AI handles execution, what creates the difference is not coding skill or writing ability but temperament.

Talent in the AI era is redefined into three forms.

The talent to question. Producing answers is AI’s domain. The ability to decide which problems are worth solving, which questions are worth asking — that remains human.

The talent to curate. The discernment to determine what is beautiful and valuable among the flood of AI-generated output. Generation is the machine’s job, but selection is ours.

The talent to refuse. The ability to resist the temptation of short-term efficiency that AI proposes, and to insist on one’s own direction. The strength to stay on your path even when you know a faster road exists.

The common denominator of these three is one thing: the ability to endure boredom and uncertainty. If intelligence (IQ) once determined class, in the AI era this ability becomes the new class capital. Cognitive labor can be outsourced to AI, but the pain of waiting without losing purpose remains exclusively in the human domain.

The object of effort changes too. Past effort meant repeatedly practicing a single skill to build mastery. Playing piano four hours daily. Writing thousands of lines of code to develop intuition. The path was defined, so one could predict the reward cycle: “This much input yields this much improvement.” But effort in the AI era means exploring which problems are worth solving, attempting, failing, and correcting course. The path itself is uncertain, so reward cycles become longer and more irregular.

Here a cruel paradox emerges. When AI drives execution costs toward zero, the barrier to “trying” becomes extremely low. Anyone can build an app, write a piece, start a business. But when entry becomes easy, expectations for rewards accelerate too. “I built it in a day with AI — why aren’t results coming?” The “short reward cycle addiction” that once afflicted only a talented few becomes universal in the AI era. The threshold for feeling “I’ve tried hard enough” shrinks from two months to two days.

Ultimately, AI doesn’t resolve the paradox of talent — it democratizes it. A world where everyone can fall into the talented person’s trap. Opportunists wait for waves, but great trees grow roots. In the AI era, the waves come too frequently — those without roots will drift every day.

The polarization of perseverance begins. The strength to maintain direction when you don’t even know if the path is right — this may be the only talent that remains in the age of AI.

The Question That Remains

So what can we do?

If faith in effort is determined by luck, then perhaps society’s role is to engineer that luck deliberately. A structure where people can repeatedly experience “I did it” at appropriate levels of difficulty; a ladder of growth where reward cycles are designed to be endurable. And in the AI era, even the shape of that ladder must be redesigned — not a ladder of mastery, but a ladder of exploration and direction-setting.

I don’t know what world my son will face when he grows up. But what I can do as a father is design small successes calibrated to his clock. Arranging challenges sized for what he can handle and micro-rewards to match, so he doesn’t burn out waiting for some grand payoff. Planting the seed of belief that “holding on long enough eventually works” — not by luck, but by intention.

If there’s one thing I can pass on, it won’t be talent — it will be the experience of having endured. And that experience is something someone can design.

References

  • Carol Dweck, “Mindset: The New Psychology of Success” (2006)
  • Angela Duckworth, “Grit: The Power of Passion and Perseverance” (2016)
  • Nassim Nicholas Taleb, “Fooled by Randomness” (2001)
  • Michael Sandel, “The Tyranny of Merit” (2020)